Experimental and statistical investigation of the effects of MQL, dry and wet machining on machinability and sustainability in turning of AISI 4140 steel

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dc.authoridGURBUZ, Huseyin/0000-0003-1391-172X
dc.contributor.authorGurbuz, Huseyin
dc.contributor.authorGonulacar, Yunus Emre
dc.date.accessioned2024-12-24T19:29:52Z
dc.date.available2024-12-24T19:29:52Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractThe applications of cutting fluids in metal cutting have negative results such as increasing machining cost and polluting environment, water and soil pollution stemming from wastes. Therefore, use of Minimum Quantity Lubrication (MQL) technique is generally preferred since it not only gives better results but also exhibits favorable influences on environmental pollution and human health. The objective of this experimental and statistical study is to investigate the effects of both machining conditions (MQL, Dry and Wet) and cutting parameters on sustainability and machinability. Another aim of this study is to establish significance of control factors on the response values by using signal to noise (S/N) ratio, Taguchi orthogonal array, analyses of variance (ANOVA), linear and quadratic equations and to select optimal cutting parameters as well. Also, the Pugh matrix approach was utilized to compare different coolant types in terms of sustainable manufacturing. According to the experimental results, it was found that MQL cutting significantly decreased cutting tool wear when compared to dry and wet cutting, while it reduced main cutting force (Fc) and surface roughness (Ra) in general. The results of S/N ratios showed that MQL had more significant effect on Ra and Fc than wet and dry cutting. The values of optimal cutting condition were obtained as 0.16 mm/rev and 125 m/min for feed rate and cutting speed in MQL machining, respectively. According to the experimental results, it was found that MQL cutting, when compared dry and wet cutting, decreased by average 25%(dry), 5%(wet), 15%(dry), 2%(wet), 44%(dry) and 9%(wet) in terms of cutting tool wear, Fc and Ra, respectively. According to ANOVA, feed rate is the most effective factor on Fc and Ra values. It was found that the results estimated for Fc and Ra values using Taguchi method, linear and quadratic equations are quite successful within 3% deviation. According to Pugh matrix approach assessment results, MQL machining was superior to dry and wet machining in terms of sustainability and cleaner production.
dc.description.sponsorshipBatman University Scientific Research Projects Unit [2017-GRADUATE-2]
dc.description.sponsorshipThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Batman University Scientific Research Projects Unit (grant number 2017-GRADUATE-2).
dc.identifier.doi10.1177/09544089221076243
dc.identifier.endpage1823
dc.identifier.issn0954-4089
dc.identifier.issn2041-3009
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85124911026
dc.identifier.scopusqualityQ2
dc.identifier.startpage1808
dc.identifier.urihttps://doi.org/10.1177/09544089221076243
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7284
dc.identifier.volume236
dc.identifier.wosWOS:000753530900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSage Publications Ltd
dc.relation.ispartofProceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectMQL
dc.subjectcleaner machining
dc.subjectsustainability
dc.subjectmain cutting force
dc.subjectsurface roughness
dc.subjectcutting tool wear
dc.subjectANOVA
dc.subjectTaguchi method
dc.subjectoptimization
dc.titleExperimental and statistical investigation of the effects of MQL, dry and wet machining on machinability and sustainability in turning of AISI 4140 steel
dc.typeArticle

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